/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:425: FitFailedWarning:
120 fits failed out of a total of 384.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.
Below are more details about the failures:
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1055, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [15:25:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fb7a0f8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fb7a11e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fb7a11f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fb7a11e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fb7a11e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fb7a11e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fb7a11995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fb7a0f7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fb7b07e7a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1055, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [15:25:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f2bce58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f2bce7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f2bce7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f2bce7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f2bce7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f2bce7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f2bce7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f2bce57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f2bf3c08a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1055, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [15:25:58] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f8f8cf8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f8f8d1e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f8f8d1f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f8f8d1e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f8f8d1e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f8f8d1e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f8f8d1995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f8f8cf7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f8fb177ea4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1055, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [15:25:58] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fb7a0f8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fb7a11e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fb7a11f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fb7a11e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fb7a11e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fb7a11e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fb7a11995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fb7a0f7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fb7b07e7a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1055, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [15:25:58] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f2bce58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f2bce7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f2bce7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f2bce7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f2bce7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f2bce7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f2bce7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f2bce57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f2bf3c08a4a]
--------------------------------------------------------------------------------
96 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 423, in fit
Xt = self._fit(X, y, **fit_params_steps)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 377, in _fit
X, fitted_transformer = fit_transform_one_cached(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/joblib/memory.py", line 353, in __call__
return self.func(*args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 957, in _fit_transform_one
res = transformer.fit_transform(X, y, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
data_to_wrap = f(self, X, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 919, in fit_transform
return self.fit(X, y, **fit_params).transform(X)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/utils/_set_output.py", line 157, in wrapped
data_to_wrap = f(self, X, *args, **kwargs)
File "/home/paulius/data/projects/m3_s3_lending/src/feature_engineering.py", line 218, in transform
df = df[['pass__last_fico_range_high']].copy()
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/frame.py", line 3813, in __getitem__
indexer = self.columns._get_indexer_strict(key, "columns")[1]
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6070, in _get_indexer_strict
self._raise_if_missing(keyarr, indexer, axis_name)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6130, in _raise_if_missing
raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Index(['pass__last_fico_range_high'], dtype='object')] are in the [columns]"
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1055, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [15:26:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f6c28d8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f6c28fe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f6c28ff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f6c28fe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f6c28fe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f6c28fe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f6c28f995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f6c28d7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f6c4db42a4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1055, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [15:26:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7ffb5038c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7ffb505e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7ffb505f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7ffb505e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7ffb505e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7ffb505e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7ffb505995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7ffb5037fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7ffb74b99a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1055, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [15:26:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7ffb5038c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7ffb505e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7ffb505f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7ffb505e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7ffb505e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7ffb505e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7ffb505995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7ffb5037fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7ffb74b99a4a]
warnings.warn(some_fits_failed_message, FitFailedWarning)
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_search.py:979: UserWarning: One or more of the test scores are non-finite: [-0.87363029 -0.87509479 nan nan -0.87363029 -0.87509479
nan nan -1.72207767 -1.71942101 -1.7133197 -1.71514919
-1.7172781 -1.72644367 -1.71987797 -1.71885719 -1.51405631 -1.51405631
-1.51405631 -1.51405631 nan nan nan nan
-1.71967355 -1.72630313 -1.72415312 -1.72231712 nan nan
nan nan -0.85452965 -0.88326667 -0.85496037 -0.84901225
-0.85452965 -0.88326667 -0.85496037 -0.84901225 -1.7180009 -1.71998987
-1.72206904 -1.72641705 -1.72136705 -1.72356449 -1.71791662 -1.71959939
-1.51405631 -1.51405631 -1.51405631 -1.51405631 nan nan
nan nan -1.70949383 -1.72283924 -1.71918417 -1.72161215
nan nan nan nan -0.87680197 -0.87181571
nan nan -0.87680197 -0.87181571 nan nan
-1.7161081 -1.72149256 -1.71580945 -1.71319192 -1.71966207 -1.71581861
-1.71670008 -1.71812548 -1.51405631 -1.51405631 -1.51405631 -1.51405631
nan nan nan nan -1.71739972 -1.72533995
-1.72940832 -1.71520474 nan nan nan nan
-0.86956395 -0.86978519 -0.85937611 -0.84802341 -0.86956395 -0.86978519
-0.85937611 -0.84802341 -1.71937517 -1.71975672 -1.72474271 -1.71839774
-1.72055199 -1.71705395 -1.71077587 -1.71396156 -1.51405631 -1.51405631
-1.51405631 -1.51405631 nan nan nan nan
-1.72352378 -1.72694304 -1.71671197 -1.72593799 nan nan
nan nan]
warnings.warn(